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demo.yaml

@@ -28,8 +28,5 @@ kwargs:
       - label: df
         postprocessing: null
       func_kwargs: {}
-      ldict:
-        class_string: gradify.exec_to_dict
-        kwargs:
-          source: "import pandas as pd\n\n\ndef convert_and_multiply(df):\n    return\
-            \ df.apply(lambda x: x.astype(int) * x.index, axis=1)\n"
+      source: "import pandas as pd\n\n\ndef convert_and_multiply(df):\n    return\
+        \ df.apply(lambda x: x.astype(int) * x.index, axis=1)\n"

gradify.py

@@ -1,7 +1,10 @@
 
 
-def gradify_closure(ldict, argmaps, func_kwargs={}):
+def gradify_closure(source, argmaps, func_kwargs={}):
     
+    ldict = {}
+    exec(source, globals(), ldict)
+
     from types import FunctionType
     for k, v in ldict.items():
         if isinstance(v, FunctionType):
@@ -29,10 +32,3 @@ def gradify_closure(ldict, argmaps, func_kwargs={}):
             raise gr.Error(f"Error: {e}")
 
     return gradify_func
-
-def exec_to_dict(source, target=None):
-
-    ldict = {}
-    exec(source, globals(), ldict)
-
-    return ldict.get(target, None) if target else ldict